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李荣华,博士

教授,博士生导师,教育部青年长江学者(2018年度)

北京理工大学,计算机学院

北京市海淀区中关村南大街5号中心教学楼1233

电子邮箱:lironghuabit@126.com

研究兴趣

大规模图数据管理与挖掘、图计算系统、图神经网络、图表示学习、知识图谱、图论算法的设计与分析、谱图理论等。

 

News: 每年计划招收博士生1人、硕士研究生4人,同时也欢迎优秀的高年级本科生加入实验室,表现优秀者将推荐至美国、澳洲、中国香港、新加坡各地继续深造 (注:有ACM程序设计竞赛背景者将优先考虑)。有意加入本课题组的学生请将个人简历发送至: lironghuabit@126.com

招生说明

1. 科研为主
       主要研究图数据管理与分析、社交网络分析与挖掘、图神经网络、面向图数据的机器学习、图计算系统、图论算法的设计与分析、大数据算法技术等。这一方向以基础研究为主,适合于计划继续深造的同学,我们的目标是发表高水平学术论文。进入课题组的学生,我将会根据你们现有的基础制定学习计划、帮助你们选择感兴趣的研究课题、指导你们撰写学术论文,以及和你们一起解决与图数据相关的算法难题。

2. 项目为主
       主要研究知识图谱管理与分析、图计算系统和图存储系统的开发。这一方向以课题组的工程性项目为依托,适合于读研后计划工作的同学,我们的目标是开发一套高效的知识图谱管理与分析系统,以及高性能的图计算与图存储系统。进入课题组的学生,我会根据你们的兴趣,选择合适的项目,制定相应的学习计划,以及和你们一起学习相关的前沿技术、解决项目中的技术难题。

主要学术论文

Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li. Computing K-Cores in Large Uncertain Graphs: An Index-based Optimal Approach. IEEE Transactions on Knowledge and Data Engineering, (已接收)   (pdf)

Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Weihua Yang, and Lu Qin. Periodic Communities Mining in Temporal Networks: Concepts and Algorithms. IEEE Transactions on Knowledge and Data Engineering, (已接收)   (pdf)

Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, and Rui Mao. I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Transactions on Knowledge and Data Engineering, (已接收)   (pdf)

Rong-Hua Li, Sen Gao, Lu Qin, Guoren Wang, Weihua Yang, Jeffrey Xu Yu. Ordering Heuristics for k-clique Listing, VLDB 2020.   (pdf)

Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin: Efficient Top-k Edge Structural Diversity Search. ICDE 2020: 205-216   (pdf)

Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao and Zibin Zheng: Finding skyline communities in multi-valued networks. VLDB Journal, (已接收)   (pdf)

Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, and Jeffrey Xu Yu: Mining Stable Communities in Temporal Networks by Density-based Clustering. IEEE Transactions on Big Data, (已接收)   (pdf)

Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, and Jeffrey Xu Yu: Target-aware Holistic Influence Maximization in Spatial Social Networks.IEEE Transactions on Knowledge and Data Engineering, (已接收)   (pdf)

Shaojie Qiao , Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Heli Sun, and Xindong Wu: Dynamic Community Evolution Analysis Framework for Large-scale Complex Networks Based on Strong and Weak Events. IEEE Trans. Systems, Man, and Cybernetics: Systems, (已接收)   (pdf)

Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu. Discrete Overlapping Community Detection with Pseudo Supervision, ICDM 2019.   (pdf)

Xiaxia Guan, Shurong Zhang, Rong-Hua Li, Lin Chen, Weihua Yang: Anti-k-labeling of graphs. Applied Mathematics and Computation 363 (2019).   (pdf)

Lu Miao, Shurong Zhang, Rong-Hua Li, Weihua Yang. Structure fault tolerance of k-ary n-cube networks. Theoretical Computer Science, 2019.   (pdf)

Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li. Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference 2019: 1339-1356.   (pdf)

Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. Signed Clique Search in Signed Networks: Concepts and Algorithms, IEEE Transactions on Knowledge and Data Engineering, (已接收)   (pdf)

Yu-Xuan Qiu, Rong-Hua Li*,Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao. Efficient Structural Clustering on Probabilistic Graphs, IEEE Transactions on Knowledge and Data Engineering. 31(10): 1954-1968 (2019)   (pdf)

Xi Xiong, Shaojie Qiao, Yuanyuan Li, Haiqing Zhang, Ping Huang, Nan Han, Rong-Hua Li. ADPDF: A Hybrid Attribute Discrimination Method for Psychometric Data With Fuzziness.IEEE Trans. Systems, Man, and Cybernetics: Systems 49(1): 265-278 (2019)   (pdf)

Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li. Index-Based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs. ICDE 2019: 64-75(1 of 8 excellent paper, invited to TKDE)   (pdf)

Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu. Improved Algorithms for Maximal Clique Search in Uncertain Networks. ICDE 2019: 1178-1189   (pdf)

Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining Periodic Cliques in Temporal Networks. ICDE 2019: 1130-1141   (pdf)

Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. Efficient Signed Clique Search in Signed Networks. ICDE 2018: 245-256.(1 of 8 excellent paper, invited to TKDE)   (pdf)

Rong-Hua Li, Jiao Su, Lu Qin, Jeffrey Xu Yu, Qiangqiang Dai. Persistent Community Search in Temporal Networks. ICDE 2018: 797-808   (pdf)  ,  (code)  ,  (A simpler version for chinese students)

Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng. Skyline Community Search in Multi-valued Networks. SIGMOD Conference 2018: 457-472   (pdf)  ,  (code)

Fei Chen, Donghong Wang, Rong-Hua Li, Jianyong Chen, Zhong Ming, Alex X. Liu, Huayi Duan, Cong Wang, Jing Qin. Secure Hashing-Based Verifiable Pattern Matching. IEEE Trans. Information Forensics and Security 13(11): 2677-2690 (2018)   (pdf)

Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, Xindong Wu. Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique. IEEE Trans. Intelligent Transportation Systems 19(7): 2305-2315 (2018)   (pdf)

Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, Xindong Wu. A Fast Parallel Community Discovery Model on Complex Networks through Approximate Optimization. IEEE Transactions on Knowledge and Data Engineering 30(9): 1638-1651 (2018)   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Finding influential communities in massive networks. VLDB J. 26(6): 751-776 (2017)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin. Recursive Stratified Sampling: A New Framework for Query Evaluation on Uncertain Graphs. IEEE Transactions on Knowledge and Data Engineering 28(2): 468-482 (2016)   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Optimal Multi-Meeting-Point Route Search. IEEE Transactions on Knowledge and Data Engineering 28(3): 770-784 (2016)   (pdf)

Can Lu, Jeffrey Xu Yu, Rong-Hua Li*, Hao Wei. Exploring Hierarchies in Online Social Networks. IEEE Transactions on Knowledge and Data Engineering 28(8): 2086-2100 (2016)   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Efficient and Progressive Group Steiner Tree Search. SIGMOD Conference 2016: 91-106   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Influential Community Search in Large Networks. PVLDB 8(5): 509-520 (2015)   (pdf)

Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu. Top-K structural diversity search in large networks. VLDB Journal 24(3): 319-343 (2015)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin. On random walk based graph sampling. ICDE 2015: 927-938   (pdf)

Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang. Locally Densest Subgraph Discovery. KDD 2015: 965-974   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Rui Mao. Efficient Core Maintenance in Large Dynamic Graphs. IEEE Transactions on Knowledge and Data Engineering 26(10): 2453-2465 (2014)   (pdf)

Rong-Hua Li Jeffrey Xu Yu, Xin Huang, Hong Cheng. Random-walk domination in large graphs. ICDE 2014: 736-747   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin. Efficient and accurate query evaluation on uncertain graphs via recursive stratified sampling. ICDE 2014: 892-903   (pdf)

Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu. Top-K Structural Diversity Search in Large Networks. PVLDB 6(13): 1618-1629 (2013)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu. Scalable Diversified Ranking on Large Graphs. IEEE Transactions on Knowledge and Data Engineering 25(9): 2133-2146 (2013)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng. Robust Reputation-Based Ranking on Bipartite Rating Networks. SDM 2012: 612-623   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Jianquan Liu. Link prediction: the power of maximal entropy random walk. CIKM 2011: 1147-1156   (pdf)

主要专利

1.    一种基于时间顺序的轨迹匹配方法,ZL201610235096.9

2.    应用于实时合乘的最优多会合点路径搜索方法及装置,ZL201510274711.2

3.    一种基于MapReduce的大规模图数据关键词搜索方法,ZL201410736421.0

4.    一种广义最大度随机游走图抽样算法,ZL201410749244.X

5.    一种基于k-核的社交网络中的社区搜索方法,ZL201410675746.2

6.    一种基于距离的求解二维空间中代表性节点集的方法,ZL201510021696.0

7.    基于图简化技术的社交网络中用户影响力估算方法及装置,ZL201510336864.5

主持科研项目

1.    面向大规模时态图数据的社区搜索关键技术研究,国家自然科学基金面上项目

2.    大规模图数据的最大k边连通子图查询处理研究,国家自然科学基金青年基金项目

3.    面向大规模社交网络的社区搜索算法研究,深圳市科技计划基础研究项目

学术服务

1.    WSDM 2021、ICDE 2020、VLDB 2020、SIGIR 2020、KDD 2020、CIKM 2020、KDD 2019、ICDE 2019、KDD 2018、SDM 2018、CIKM 2018、CIKM 2017、SDM 2017、WWW 2016等国际会议的程序委员会委员

2.    ACM TODS、VLDB Journal、IEEE TKDE等国际期刊的审稿人

承担课程

并行算法,2015春季、2016春季,深圳大学

信息交换技术,2013秋季、2014秋季,深圳大学

离散数学,2014春季、2017春季,深圳大学

多媒体技术,2014春季、2015春季,深圳大学

高级数据库技术,2015秋季,深圳大学

社区搜索算法导论,2016秋季,深圳大学

程序设计基础,2018秋季、2019秋季,北京理工大学

人工智能与大数据(博士课程),2019秋季、2020春季、北京理工大学

指导学生    (师生合影)

博士后

硕士研究生(含协助指导)

崔冬梅、郑艺、吴可心、高森、徐兰天、任泽槟、潘敏佳、易晗、刘瑞奇、李泽宁、李挺、王彪

本科生

尹梓琦、梁瑛平、刘毅波、崔冬航

已毕业学生

康驻关,2018级硕士(北理工),中国农业银行总行本部(北京)

代强强,2016级硕士(深大),北京理工大学读博

何    宇,2016级硕士(深大),腾讯(深圳)

宋秋烁,2016级硕士(深大),中国建设银行

邱宇轩,2015级硕士(深大),澳大利亚悉尼科技大学读博

张伟鹏,2015级硕士(深大),腾讯(深圳)

张培涵,2015级硕士(深大),京东(深圳)

陈亚中,2015级硕士(深大),云南农商银行

郭楷扬,2014级硕士(深大),腾讯(深圳)

廖凯华,2013级硕士(深大),中国国际金融股份有限公司

蔡涛涛,2013级硕士(深大),澳大利亚西澳大学读博

郭    君,2013级本科生(深大),美国南加州大学硕士

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